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Data Scientist Gaming/ Betting

Job LocationLondon
EducationNot Mentioned
Salary£50,000 - £80,000 per annum
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent, full-time

Job Description

DATA SCIENTIST£60,000 - £80,000 + BENEFITS + BONUSLONDONAre you interested in working for a global betting/ gaming company on a range of projects in pricing, marketing and customer analyticsTHE COMPANY:As a Data Scientist, you will be the first to join the data science UK team for a global betting company. They are setting up their data science HQ in London and plan to grow the team out to 6 people in the next year.THE ROLE:The role of Data Scientist will involve building machine learning and statistical models that will optimise digital betting experience and directly impact business performance.In specific, you can expect to be involved in the following:

  • Day to day building machine learning models in python that have direct impact on the business
  • Providing solutions to real business problems that benefit customers and provide more personalised experience, i.e. building recommender systems, working on customer focused products (loyalty schemes)
  • Understanding pricing elasticity and building machine learning models to effectively price bets
  • Utilising large amounts of digital betting data to maximise revenue
  • Working on projects in all areas of business and using initiative to add value (eg marketing campaigns)
  • YOUR SKILLS AND EXPERIENCE:The successful Data Scientist will have the following skills and experience:
  • Educated to BSc/ MSc/ PhD in a STEM degree
  • Proficiency in Python/ Azure stack
  • Extensive previous commercial experience as a data scientist/ machine learning engineer
  • Experience recognising how machine learning/ statistical modelling can be used most effectively solve business problems
  • THE BENEFITS:The successful Data Scientist will receive a salary dependent on experience from £60,000 - £80,000 (and bonus/ benefits).HOW TO APPLY:Please register your interest by sending your CV to Francesca Curtis via the Apply link on this page.

    APPLY NOW

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